Backbones. For fair comparisons, we used ResNet-32 [1]} as the backbone for CIFAR100-LT, ResNet-{50, 152} for Places365-LT, ResNeXt-50 for ImageNet-LT and ResNet-50 for iNaturalist18. For Places365-LT, we pretrained the backbones on ImageNet dataset as in [2]}.
